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In this paper, we describe BUPT-MCPRL systems for TRECVID 2010. Our team participated in five tasks: semantic indexing, known-item search, content-based copy detection, surveillance event detection and instance search. A brief introduction is shown as follows: In this year, we concentrated on the concept-based retrieval, and proposed several methods to(More)
With the increasing amount of surveillance data, moving object segmentation in the compressed domain has drawn broad attention from both academy and industry. In this paper, we propose a novel moving object segmenta-tion method towards H.264 compressed surveillance videos. First, the motion vectors (MV) are accumulated and filtered to achieve reliable(More)